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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM, IPSJ-NL 2021-05-21
10:30		 Online Online A Study on Domain Adaptation for Video Action Classification Utilizing Synthetic Data.
Hana Isoi (Ochanomizu Univ.), Atsuko Takefusa (NII), Hidemoto Nakada (AIST), Masato Oguchi (Ochanomizu Univ.) PRMU2021-5		 The lack of learning data is considered as one of the reasons why the classification accuracies of deep neural networks ... [more] PRMU2021-5
pp.25-30
PRMU, MVE, IPSJ-CVIM [detail] 2011-01-21
18:00		 Shiga   Video-based Generic Object Recognition by Combining Motion Features and BoF
Shogo Nakamura, Daisuke Deguchi (Nagoya Univ.), Tomokazu Takahashi (Gifu Shotoku Gakuen Univ.), Ichiro Ide, Hiroshi Murase (Nagoya Univ.) PRMU2010-206 MVE2010-131		 It has been needed to recognize objects in videos and attach tags automatically so as to categorize and search a large a... [more] PRMU2010-206 MVE2010-131
pp.423-428
SIS 2009-03-05
13:20		 Tokyo   A Fundamental Consideration of Characteristics of Images for Identification of Objects
Hiroshi Kudo, Yoshiko Hanada, Mitsuji Muneyasu (Kansai Univ.) 		Recently, the several image retrieval systems have been developed, which regard the web as a large-scale image database.... [more] SIS2008-75
pp.19-24
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